Article ID Journal Published Year Pages File Type
1153901 Statistics & Probability Letters 2006 5 Pages PDF
Abstract
Consider the randomly weighted sums Sn(θ)=∑k=1nθkXk, n=1,2,…, where {Xk,k=1,2,…} is a sequence of independent real-valued random variables with common distribution F, whose right tail is regularly varying with exponent -α<0, and {θk,k=1,2,…} is a sequence of positive random variables, independent of {Xk,k=1,2,…}. Under a suitable summability condition on the upper endpoints of θk,k=1,2,…, we prove that Pr(max1⩽n<∞Sn(θ)>x)∼F¯(x)∑k=1∞Eθkα.
Related Topics
Physical Sciences and Engineering Mathematics Statistics and Probability
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